Veena S Kumar's Projects
:mortar_board: Path to a free self-taught education in Computer Science!
This repo contains implementation of different architectures for emotion recognition in conversations.
Documentation for GitHub Copilot
Introduction to R by Jonathan Cornelissen
The Cyber Swiss Army Knife - a web app for encryption, encoding, compression and data analysis
10 Weeks, 20 Lessons, Data Science for All!
Data science interview questions and answers
A Python implementation of Deep Belief Networks built upon NumPy and TensorFlow with scikit-learn compatibility
A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
DeepFaceLab is the leading software for creating deepfakes.
This project is an aid to the blind. Till date there has been no technological advancement in the way the blind navigate. So I have used deep learning particularly convolutional neural networks so that they can navigate through the streets.
A Virtual Desktop Assistant Written in Python
Detecting Fake News with 52,000 article with %97 Accuracy
Roadmap to becoming a web developer in 2020
Official implementation of the paper "Estimation of continuous valence and arousal levels from faces in naturalistic conditions", Antoine Toisoul, Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos and Maja Pantic, Nature Machine Intelligence, 2021
A deep neural net toolkit for emotion analysis via Facial Expression Recognition (FER)
PyTorch implementation of Emotic CNN methodology to recognize emotions in images using context information.
Real-time Facial Emotion Detection using deep learning
Original dissertation title: "Extract Emotional Tags from Movie Synopses". The identification, definition, and automatic prediction of a set of emotions in movies, based on their movie abstracts and various metadata.
An emotion extraction system for images, that extracts emotion which will be felt by the user of viewing the image, representing them in a 2-Dimensional space that represents Arousal and Valence.
A simple detector of prototypic emotions from facial images captured in video, written in Python.
:fire: 2D and 3D Face alignment library build using pytorch
Project to find one of 9 pre-trained emotions on given photo, video or webcam-stream
The world's simplest facial recognition api for Python and the command line
This Repo consist code for transfer learning for facial emotion detection via valence and arousal levels. We used pretrained weights from VGG-16 net and apply on that features deep neural network and lstm model in pytorch. We tested our model on Aff-wild net dataset.
Facial Expression or Facial Emotion Detector can be used to know whether a person is sad, happy, angry and so on only through his/her face. This Repository can be used to carry out such a task.